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Download fileGrey-box modelling of the swirl characteristics in gas turbine combustion system
journal contribution
posted on 2019-11-11, 10:30 authored by Eve ZhangEve Zhang, Miguel Martinez-GarciaMiguel Martinez-Garcia, Roy KalawskyRoy Kalawsky, Anthony LatimerThis paper has proposed a data-driven approach to study the airflow swirl characteristics in industrial gas turbine combustion system. A grey-box model is developed to represent the combustion system characteristics, based on real gas turbine measurements. The model inputs are the burner tip temperatures, and the outputs are the downstream gas temperatures. Then, the model parameters are determined using a hybrid genetic algorithm–quasi-Newton optimization scheme. The efficacy of the proposed approach is demonstrated through a case study. It is shown that the proposed model can be a useful tool that adds to the existing array of gas turbine combustion monitoring applications.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
- Mechanical, Electrical and Manufacturing Engineering
Department
- Aeronautical and Automotive Engineering
Published in
MeasurementVolume
151Publisher
ElsevierVersion
- AM (Accepted Manuscript)
Rights holder
© ElsevierPublisher statement
This paper was accepted for publication in the journal Measurement and the definitive published version is available at https://doi.org/10.1016/j.measurement.2019.107266.Acceptance date
2019-11-08Publication date
2019-11-14Copyright date
2019ISSN
0263-2241Publisher version
Language
- en